Content-Based Object Movie Retrieval and Relevance Feedbacks

Content-Based Object Movie Retrieval and Relevance Feedbacks

Blog Article

Object movie refers to a set of images captured from different perspectives around a 3D object.Object movie provides a good representation of a physical object because it can provide 3D interactive viewing effect, but does not require 3D model reconstruction.In this paper, we propose an efficient approach for content-based object movie retrieval.In order to retrieve the desired object movie from the database, we first map an object movie into the sampling Inflatable of a manifold in the feature space.Two different layers of feature descriptors, dense and condensed, are designed to sample the manifold for representing object movies.

Based on these Cover Ups/Kimonos descriptors, we define the dissimilarity measure between the query and the target in the object movie database.The query we considered can be either an entire object movie or simply a subset of views.We further design a relevance feedback approach to improving retrieved results.Finally, some experimental results are presented to show the efficacy of our approach.

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